<template>
  <div>
    <!-- 面包屑导航区域 -->
    <el-breadcrumb separator-class="el-icon-arrow-right">
      <el-breadcrumb-item :to="{ path: '/home' }">首页</el-breadcrumb-item>
      <el-breadcrumb-item>数据统计</el-breadcrumb-item>
      <el-breadcrumb-item>数据报表</el-breadcrumb-item>
    </el-breadcrumb>

    <!-- 卡片视图区域 -->
    <el-card>
      <div id="main" style="width: 750px; height: 400px"></div>
    </el-card>
  </div>
</template>

<script>
import echarts from 'echarts'
import _ from 'lodash'
export default {
  data() {
    return {
      //需要合并的数据
      options: {
        title: {
          text: '用户来源',
        },
        tooltip: {
          trigger: 'axis',
          axisPointer: {
            type: 'cross',
            label: {
              backgroundColor: '#E9EEF3',
            },
          },
        },
        grid: {
          left: '3%',
          right: '4%',
          bottom: '3%',
          containLabel: true,
        },
        xAxis: [
          {
            boundaryGap: false,
          },
        ],
        yAxis: [
          {
            type: 'value',
          },
        ],
      },
    }
  },
  created() {},
  //页面元素已经渲染完毕
  async mounted() {
 
    // 基于准备好的dom，初始化echarts实例
    var myChart = echarts.init(document.getElementById('main'))

    const { data: res } = await this.$http.get('reports/type/1')
    if (res.meta.status !== 200) {
      return this.$message.error('获取折线图数据失败')
    }

    //数据和配置项
 const result= _.merge(res.data,this.options)
    //展示数据
    myChart.setOption(result)
    
  },
}
function run(_rawData) {
  // var countries = ['Australia', 'Canada', 'China', 'Cuba', 'Finland', 'France', 'Germany', 'Iceland', 'India', 'Japan', 'North Korea', 'South Korea', 'New Zealand', 'Norway', 'Poland', 'Russia', 'Turkey', 'United Kingdom', 'United States'];
  const countries = [
    'Finland',
    'France',
    'Germany',
    'Iceland',
    'Norway',
    'Poland',
    'Russia',
    'United Kingdom'
  ];
  const datasetWithFilters = [];
  const seriesList = [];
  echarts.util.each(countries, function (country) {
    var datasetId = 'dataset_' + country;
    datasetWithFilters.push({
      id: datasetId,
      fromDatasetId: 'dataset_raw',
      transform: {
        type: 'filter',
        config: {
          and: [
            { dimension: 'Year', gte: 1950 },
            { dimension: 'Country', '=': country }
          ]
        }
      }
    });
    seriesList.push({
      type: 'line',
      datasetId: datasetId,
      showSymbol: false,
      name: country,
      endLabel: {
        show: true,
        formatter: function (params) {
          return params.value[3] + ': ' + params.value[0];
        }
      },
      labelLayout: {
        moveOverlap: 'shiftY'
      },
      emphasis: {
        focus: 'series'
      },
      encode: {
        x: 'Year',
        y: 'Income',
        label: ['Country', 'Income'],
        itemName: 'Year',
        tooltip: ['Income']
      }
    });
  });
  option = {
    animationDuration: 10000,
    dataset: [
      {
        id: 'dataset_raw',
        source: _rawData
      },
      ...datasetWithFilters
    ],
    title: {
      text: 'Income of Germany and France since 1950'
    },
    tooltip: {
      order: 'valueDesc',
      trigger: 'axis'
    },
    xAxis: {
      type: 'category',
      nameLocation: 'middle'
    },
    yAxis: {
      name: 'Income'
    },
    grid: {
      right: 140
    },
    series: seriesList
  };
  myChart.setOption(option);
}
</script>

<style lang="less" scoped>
</style>
